An Adaptive Image De-Noising Method Based on Singular Value Decomposition

Chun Bing Zhou; Zhi Jia Zhang

doi:10.4028/www.scientific.net/AMR.532-533.1041

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 532-533An Adaptive Image De-Noising Method Based on...

An Adaptive Image De-Noising Method Based on Singular Value Decomposition

Abstract:

In this paper, we propose a new combined model for image de-noising. The singular value decomposition has been widely used in the image application such as de-noising till now. There is a problem, which is how to confirm the number of the singular values in the process of image reconstruction, need to solve in the process. Then the paper discusses a minimum energy model to confirm the number through the way of calculating the local minimum in the defined energy curve. The experiment results show that the established model is consistent to the fact under the situation that if the image be with regular structure.

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Periodical:

Advanced Materials Research (Volumes 532-533)

Pages:

1041-1045

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.532-533.1041

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Online since:

June 2012

Authors:

Chun Bing Zhou, Zhi Jia Zhang

Keywords:

Image De-Noising, Minimum Energy Model, Orthogonal Subspace, Singular Value Decomposition (SVD), SNR

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References

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